Surrogate-guided parametric inverse design of periodic labyrinthine ventilated acoustic metamaterialsa).

Inverse design of membrane-type acoustic metamaterials based on physics-informed neural networks

Inverse design of membrane-type acoustic metamaterials (MAMs) for low-frequency sound insulation is challenged by costly sample acquisition, limited interpretability of purely data-driven models, non-unique solutions, and unstable training. This study proposes a small-sample physics-informed neural network (PINN) fra...

Resonance-Anchored Residual Surrogate for Spectral Prediction and Inverse Design of Multiple Terahertz Metamaterial Absorber Topologies

Efficient forward prediction and inverse design can bypass the complexity and computational cost of traditional full-wave simulations, accelerating the development of terahertz metamaterial absorbers. Most current machine-learning approaches for spectral prediction or inverse design are limited to absorbers with a sing...

Lattice metamaterials as advanced airborne sound insulators

AI-assisted symmetry-informed topology optimization of woven materials for broadband sound absorption

Woven materials are promising candidates for lightweight broadband sound absorption, yet their rational design is hindered by the high computational cost of acoustic simulations and the combinatorial complexity of discrete weave topologies. These challenges limit the effectiveness of conventional topology optimization...

A Deep-Learning Surrogate Model for Predicting the Broadband Radiated Sound Power of Submerged Cylindrical Shells

A residual multilayer perceptron (ResNetMLP) surrogate framework is presented to predict the broadband radiated sound power spectra of submerged circular cylindrical shells. The surrogate maps the shell mean radius, wall thickness, and longitudinal excitation position to the unit-force sound power spectra generated by...

Acoustic phase-gradient metamaterial design through detuned supermodes.

Over the past few decades, acoustic phase-gradient metamaterials have attracted considerable attention due to their extraordinary capability to manipulate wavefronts flexibly. Here, we propose a detuned-supermode approach for designing acoustic phase-gradient metamaterials. Unlike conventional strategies, our structure...